See our publications and book.

C.P. Loizou, C.S. Pattichis, C.I. Christodoulou, R.S.H. Istepanian, M. Pantziaris, A. Nicolaides “Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery,” IEEE Trans. Ultras. Ferroel. Freq. Contr., vol. 52, no. 10, pp. 1653-1669, 2005.

C.P. Loizou, C.S. Pattichis, “Despeckle filtering algorithms and Software for Ultrasound Imaging,” Synthesis Lectures on Algorithms and Software for Engineering, Ed. Morgan & Claypool Publishers, 1537 Fourth Street, Suite 228, San Rafael, CA 94901 USA, June 2008, ISBN-13: 9781598296204.

Dear Prabhakar, you may visit our website, http://www.cs.ucy.ac.cy/medinfo/. Then go to the publications tab and you will find all our publications there available to download as pdf file/s.

Thank you

Sir could you send your publication that is "full-automated medical imaging system for segmentation and detection of carotid plaque and carotid artery lumen from ultrasound images"

As far as I am aware of, Total variation denoising is suited for additive noise. You may try to apply it on ultrasound images, which are degraded by multiplicative noise and investigate its performance based on quality metrics and optical perception evaluation.

I prefer Maximum Aposteriori Filters in Wavelet Domain.

I have tried anisotropic diffusion filtering and non local means filtering for despeckling. See the following reference for more information. but I have not done comparisons of them to claim which is best.

Coupé, Pierrick, et al. "Nonlocal means-based speckle filtering for ultrasound images." Image Processing, IEEE Transactions on 18.10 (2009): 2221-2229.

Here is the reference for our publication, where we utilize the anisotropic diffusion filter.

Ukwatta, E., Awad, J., Ward, A. D., Buchanan, D., Samarabandu, J., Parraga, G., & Fenster, A. (2011). Three-dimensional ultrasound of carotid atherosclerosis: Semiautomated segmentation using a level set-based method. Medical Physics, 38, 2479.

Try Non-Linear Filters. They are good and yield expected result. Is you image 2-d, 3-D or 4D? My publications are available try reading them